Xin Li is an assistant professor in the Computer Science Department at Johns Hopkins University. His research focuses on theoretical computer science, with research interests in pesudorandomness, complexity theory, distributed computing, and cryptography. He obtained his BS and MS in Computer Science from Tsinghua University in China, and his PhD in Computer Science from the University of Texas at Austin in 2011. Before joining Johns Hopkins, he spent two years as a Simons Postdoctoral Fellow at the University of Washington in Seattle.
- Pseudorandomness, Spring 2017. Visiting Scientist.